Complex Langevin simulation of a random matrix model at nonzero chemical potential

Abstract In this paper we test the complex Langevin algorithm for numerical simulations of a random matrix model of QCD with a first order phase transition to a phase of finite baryon density. We observe that a naive implementation of the algorithm leads to phase quenched results, which were also de...

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Main Authors: J. Bloch, J. Glesaaen, J. J. M. Verbaarschot, S. Zafeiropoulos
Format: Article
Language:English
Published: Springer 2018-03-01
Series:Journal of High Energy Physics
Subjects:
Online Access:http://link.springer.com/article/10.1007/JHEP03(2018)015
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spelling doaj-art-805c0b801ded49639ed8965c44f448e02018-08-15T21:57:56ZengSpringerJournal of High Energy Physics1029-84792018-03-012018313310.1007/JHEP03(2018)015Complex Langevin simulation of a random matrix model at nonzero chemical potentialJ. Bloch0J. Glesaaen1J. J. M. Verbaarschot2S. Zafeiropoulos3Institute for Theoretical Physics, University of RegensburgDepartment of Physics, Swansea UniversityDepartment of Physics and Astronomy, Stony Brook UniversityInstitute for Theoretical Physics, Heidelberg UniversityAbstract In this paper we test the complex Langevin algorithm for numerical simulations of a random matrix model of QCD with a first order phase transition to a phase of finite baryon density. We observe that a naive implementation of the algorithm leads to phase quenched results, which were also derived analytically in this article. We test several fixes for the convergence issues of the algorithm, in particular the method of gauge cooling, the shifted representation, the deformation technique and reweighted complex Langevin, but only the latter method reproduces the correct analytical results in the region where the quark mass is inside the domain of the eigenvalues. In order to shed more light on the issues of the methods we also apply them to a similar random matrix model with a milder sign problem and no phase transition, and in that case gauge cooling solves the convergence problems as was shown before in the literature.http://link.springer.com/article/10.1007/JHEP03(2018)015Lattice QCDLattice Quantum Field TheoryMatrix Models
institution Open Data Bank
collection Open Access Journals
building Directory of Open Access Journals
language English
format Article
author J. Bloch
J. Glesaaen
J. J. M. Verbaarschot
S. Zafeiropoulos
spellingShingle J. Bloch
J. Glesaaen
J. J. M. Verbaarschot
S. Zafeiropoulos
Complex Langevin simulation of a random matrix model at nonzero chemical potential
Journal of High Energy Physics
Lattice QCD
Lattice Quantum Field Theory
Matrix Models
author_facet J. Bloch
J. Glesaaen
J. J. M. Verbaarschot
S. Zafeiropoulos
author_sort J. Bloch
title Complex Langevin simulation of a random matrix model at nonzero chemical potential
title_short Complex Langevin simulation of a random matrix model at nonzero chemical potential
title_full Complex Langevin simulation of a random matrix model at nonzero chemical potential
title_fullStr Complex Langevin simulation of a random matrix model at nonzero chemical potential
title_full_unstemmed Complex Langevin simulation of a random matrix model at nonzero chemical potential
title_sort complex langevin simulation of a random matrix model at nonzero chemical potential
publisher Springer
series Journal of High Energy Physics
issn 1029-8479
publishDate 2018-03-01
description Abstract In this paper we test the complex Langevin algorithm for numerical simulations of a random matrix model of QCD with a first order phase transition to a phase of finite baryon density. We observe that a naive implementation of the algorithm leads to phase quenched results, which were also derived analytically in this article. We test several fixes for the convergence issues of the algorithm, in particular the method of gauge cooling, the shifted representation, the deformation technique and reweighted complex Langevin, but only the latter method reproduces the correct analytical results in the region where the quark mass is inside the domain of the eigenvalues. In order to shed more light on the issues of the methods we also apply them to a similar random matrix model with a milder sign problem and no phase transition, and in that case gauge cooling solves the convergence problems as was shown before in the literature.
topic Lattice QCD
Lattice Quantum Field Theory
Matrix Models
url http://link.springer.com/article/10.1007/JHEP03(2018)015
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